F311_1CapStudyTemplate

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    Study Date

    Part Number

    Operation

    Sequence

    Seq. Descr.

    Department

    Machine

    Nominal Spec. Note:Use the examples below to help you decide how to input the nominal and specs.

    + Tol. or USL

    - Tol. or LSL

    Unitsnm

    Typeb Note: Enter "b" or leave blank for bilateral tolerances. High-lite cell to activate pulldown.

    Enter "u" for LSL bounded unilateral tolerances. High-lite cell to activate pulldown.

    Multiplier1 Note: The multiplier and additive allow you to enter coded data below. Each

    Additive0 data point is first multiplied by the multiplier and then the additive is

    added to the result. If entering actual values, use the defaults (1 and 0).

    Comments:

    Force NormalYes Note: Enter "Y" to calculate capability indices based on a normal distribution.

    Data Points

    Piece # Value Actual Values

    1 =

    2 =

    3 =

    4 =

    5 =

    6 =

    7 =

    8 =

    9 =

    10 =11 =

    12 =

    13 =

    14 =

    15 =

    16 =

    17 =

    18 =

    19 =

    20 =

    21 =

    22 =

    23 =

    24 =

    25 =

    26 =

    27 =

    28 =

    29 =

    30 =

    31 =

    32 =

    33 =

    34 =

    35 =

    36 =

    37 =

    38 =

    39 =40 =

    Nominal Spec. 24.536

    + Tol. or USL 0.05

    - Tol. or LSL -0.05

    Nominal Spec.

    + Tol. or USL 24.586

    - Tol. or LSL 24.486

    Nominal Spec.

    + Tol. or USL 586

    - Tol. or LSL 486

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    JDWW Process Capability Study0

    General Statistics: ( 0 data points, 3 pc subgroups ) Date of Study: 00Jan00

    Minimum = 0.0000 Mean = 0.0000 Maximum = 0.0000

    Lower Process Limit = Targeting = 0.0000 Upper Process Limit =

    Lower Spec. Limit = -0.5000 Nominal = 0.0000 Upper Spec. Limit = 0.5000

    Std. Dev = 1.000000 Skewness =

    6 Sigma = Total Tol. = Kurtosis =

    Process Capability Indices (using +/- 3 Sigma for Normal data):

    Cp = 1.0000 Cpl = Z(LSL) =

    Cr = Cpu = Z(USL) =

    PPM (Total) = Cpk = 1.3300 Z(Min) = 0.0000

    PPM or () will be under the LSL value of -0.5000

    PPM or () will be over the USL value of 0.5000

    The amount of variation is acceptable, 1.00 Cp. After adjusting the inherent capability, Cp, to 1.33, the

    target error , 0.0000, is acceptable.

    0

    0.2

    0.4

    0.6

    0.8

    1

    1.2

    1 2

    Averages are in control.

    Xbar Control Chart

    X bar

    UCL

    X barbar

    LCL

    SubGrp Size = 3

    0

    0.2

    0.4

    0.6

    0.8

    1

    1.2

    1 2

    Ranges are in control.

    Range Control Chart

    Range

    UCL

    Rbar

    LCL

    0 2 4 6

    Capability Plot

    Data

    Proc

    Spec

    0

    0.2

    0.4

    0.6

    0.8

    1

    1.2Individuals Plot

    0.0000

    0.2000

    0.4000

    0.6000

    0.8000

    1.0000

    1.2000

    1

    The population distribution should be considered NORMAL.

    Normal Probability Plot

    0

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    0.9

    1

    0.

    0000

    0.

    0000

    0.

    0000

    0.

    0000

    0.

    0000

    0.

    0000

    0.

    0000

    0.

    0000

    0.

    0000

    0.

    0000

    0.

    0000

    0.

    0000

    Frequency

    Bin

    Histogram

    F311.1 - Revised, GE, 31Aug05 Printed 12/20/2013 Printed copies are uncontrolled documents and may not be current. Page 2 of

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    Data Values Average Upper Spec Lower Spec % Z Ordered Data Statistic

    # Data Poin

    US

    Targ

    LS

    Total Tolerancmea

    media

    Standard Deviatio

    Upper Proc. Lim

    Lower Proc. Lim

    6 Sigm

    C

    C

    Cp

    C

    Cp

    Skewnes

    Kurtos

    Slop

    InterceZ(US

    Z(LS

    % Over US

    %Under LS

    PPM Over US

    PPM Under LS

    PPM Tot

    Shapiro-Wilks Norm

    k

    W

    A2(Critical W)

    Normal

    Evaluation

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    Johnson Transformation Calculations for Standard CS (raw data):

    Cumulative Probabilities Chart Val unbounded bounded lognormal

    z 0.524 h

    P(-3z) 0.058 g

    P(-z) 0.300 l

    P(z) 0.700 e

    P(3z) 0.942 Data is Normal

    Upper Proc. Bnd (Up)

    Sample Percentiles Lower Proc. Bnd (Lp)

    x(-3z) Median Target Value

    x(-z) Cp

    x(z) Cr

    x(3z) Cpu

    Cpl

    Johnson Curve Cpk

    m Z(USL)

    n Z(LSL)

    p % Over USL

    mn/p2 % Under LSL

    type PPM Over USL

    PPM Under LSL

    PPM Total

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    Histogram Data

    Raw Data Raw Data

    bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10

    Data Points 0

    Range (R) 0.0000

    Classes (K) 10

    Class Width 0.0000

    Bin NormDist Frequency Z

    0.0000

    0.0000 0

    0.0000 0

    0.0000 0

    0.0000 0

    0.0000 0

    0.0000 0

    0.0000 0

    0.0000 0

    0.0000 0

    0.0000 0

    0.0000

    0

    Z Values

    Norm Jns Su Jns Sb Jns Sl

    Normsdist Values

    Norm Jns Su Jns Sb Jns Sl

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    Subgroup Data Range Control Chart

    SG 3 Piece 4 Piece 5 Piece SG Range UCL Rbar LCL

    # Range X bar Range X bar Range X bar

    1

    2

    3

    4

    5

    6

    7

    8

    9

    10

    11

    12

    13 In Control = Yes

    R bar X bar bar R bar X bar bar R bar X bar bar

    Constants Table Statistics

    n D3 D4 A2 d2 n 3

    2 0.000 3.267 1.880 1.128 R bar

    3 0.000 2.574 1.023 1.693 UCL R

    4 0.000 2.282 0.729 2.059 LCL R

    5 0.000 2.114 0.577 2.326 X bar bar

    UCL X bar

    LCL X bar

    A2*Rbar

    numsubg 0

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    Shapiro-Wilk normality test. Calculation of W and comparison to critical value.

    W = b / S if n is even, n = 2k; b = an(yn-y1) + an-1(yn-1-y2) + ak+1(yk+1-yk)

    if n is odd, n = 2k - 1 ; b = an(yn-y1) + an-1(yn-1-y2) + ak+2(yk+2-yk)

    y are the ordered (smallest to largest) data values

    a are factors tabled in the SW Tables tab of this workbook

    S is the sum of squares of y; S2= (y1-ybar)

    2+ (y2-ybar)

    2+ +(yn-ybar)

    2

    The SW test is a lower tail test. Small values indicate non-normality.

    b =

    S2= 95% Confidence Level

    W = W0.95 =

    n = 0

    k

    Data Values

    Ordered L

    to S

    ata

    Values

    Ordered

    S to L yn-i+1-yi

    Tabled

    Value of

    an-i+1

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    Tables from Shapiro and Wilk, Biometrika , Vol 52, pp 591-611.

    i \ n 2 3 4 5 6 7 8 9

    1 0.7071 0.7071 0.6872 0.6646 0.6431 0.6233 0.6052 0.5888

    2 0.0000 0.1677 0.2413 0.2806 0.3031 0.3164 0.3244

    3 0.0000 0.0875 0.1401 0.1743 0.1976

    4 0.0000 0.0561 0.0947

    5 0.0000

    6

    7

    8

    9

    10

    11

    12

    13

    14

    15

    16

    17

    18

    19

    20

    21

    22

    23

    24

    25

    Percentage points of the W test* for n = 3(1)50

    \ p 0.99 0.98 0.95 0.90 0.50 0.10 0.05 0.02

    n \ (1-p) 0.01 0.02 0.05 0.10 0.50 0.90 0.95 0.98

    3 0.753 0.756 0.767 0.789 0.959 0.998 0.999 1.000

    4 0.687 0.791 0.748 0.792 0.935 0.987 0.992 0.996

    5 0.686 0.715 0.762 0.806 0.927 0.979 0.986 0.991

    6 0.713 0.743 0.788 0.826 0.927 0.974 0.981 0.986

    7 0.730 0.760 0.803 0.838 0.928 0.972 0.979 0.985

    8 0.749 0.778 0.818 0.851 0.932 0.972 0.978 0.984

    9 0.764 0.791 0.829 0.859 0.935 0.972 0.978 0.984

    10 0.781 0.806 0.842 0.869 0.938 0.972 0.978 0.983

    11 0.792 0.817 0.850 0.876 0.940 0.973 0.979 0.984

    12 0.805 0.828 0.859 0.883 0.943 0.973 0.979 0.984

    13 0.814 0.837 0.866 0.889 0.945 0.974 0.979 0.984

    14 0.825 0.846 0.874 0.895 0.947 0.975 0.980 0.984

    15 0.835 0.855 0.881 0.901 0.950 0.975 0.980 0.984

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    16 0.844 0.863 0.887 0.906 0.952 0.976 0.981 0.985

    17 0.851 0.869 0.892 0.910 0.954 0.977 0.981 0.985

    18 0.858 0.874 0.897 0.914 0.956 0.978 0.982 0.986

    19 0.863 0.879 0.901 0.917 0.957 0.978 0.982 0.986

    20 0.868 0.884 0.905 0.920 0.959 0.979 0.983 0.986

    21 0.873 0.888 0.908 0.923 0.960 0.980 0.983 0.987

    22 0.878 0.892 0.911 0.926 0.961 0.980 0.984 0.987

    23 0.881 0.895 0.914 0.928 0.962 0.981 0.984 0.987

    24 0.884 0.898 0.916 0.930 0.963 0.981 0.984 0.987

    25 0.888 0.901 0.918 0.931 0.964 0.981 0.985 0.988

    26 0.891 0.904 0.920 0.933 0.965 0.982 0.985 0.988

    27 0.894 0.906 0.923 0.935 0.965 0.982 0.985 0.988

    28 0.896 0.908 0.924 0.936 0.966 0.982 0.985 0.988

    29 0.898 0.910 0.926 0.937 0.966 0.982 0.985 0.988

    30 0.900 0.912 0.927 0.939 0.967 0.983 0.985 0.988

    31 0.902 0.914 0.929 0.940 0.967 0.983 0.986 0.988

    32 0.904 0.915 0.930 0.941 0.968 0.983 0.986 0.988

    33 0.906 0.917 0.931 0.942 0.968 0.983 0.986 0.989

    34 0.908 0.919 0.933 0.943 0.969 0.983 0.986 0.989

    35 0.910 0.920 0.934 0.944 0.969 0.984 0.986 0.989

    36 0.912 0.922 0.935 0.945 0.970 0.984 0.986 0.989

    37 0.914 0.924 0.936 0.946 0.970 0.984 0.987 0.989

    38 0.916 0.925 0.938 0.947 0.971 0.984 0.987 0.989

    39 0.917 0.927 0.939 0.948 0.971 0.984 0.987 0.989

    40 0.919 0.928 0.940 0.949 0.972 0.985 0.987 0.989

    41 0.920 0.929 0.941 0.950 0.972 0.985 0.987 0.989

    42 0.923 0.930 0.942 0.951 0.972 0.985 0.987 0.989

    43 0.924 0.932 0.943 0.951 0.973 0.985 0.987 0.990

    44 0.925 0.933 0.944 0.952 0.973 0.985 0.987 0.990

    45 0.926 0.934 0.945 0.953 0.973 0.985 0.988 0.990

    46 0.927 0.935 0.945 0.953 0.974 0.985 0.988 0.990

    47 0.928 0.936 0.946 0.954 0.974 0.985 0.988 0.990

    48 0.929 0.937 0.947 0.954 0.974 0.985 0.988 0.990

    49 0.929 0.937 0.947 0.955 0.974 0.985 0.988 0.99050 0.930 0.938 0.947 0.955 0.974 0.985 0.988 0.990

    * Based on fitted Johnson (1949) SBapproximation, see Shapiro and Wilk (Biometrika 1965) for details

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    10 11 12 13 14 15 16 17 18

    0.5739 0.5601 0.5475 0.5359 0.5251 0.5150 0.5056 0.4968 0.4486

    0.3291 0.3315 0.3325 0.3325 0.3318 0.3306 0.3290 0.3273 0.3253

    0.2141 0.2260 0.2347 0.2412 0.2460 0.2495 0.2521 0.2540 0.2553

    0.1224 0.1429 0.1586 0.1707 0.1802 0.1878 0.1939 0.1988 0.2027

    0.0399 0.0695 0.0922 0.1099 0.1240 0.1353 0.1477 0.1524 0.1587

    0.0000 0.0303 0.0539 0.0727 0.0880 0.1005 0.1109 0.1197

    0.0000 0.0240 0.0433 0.0593 0.0725 0.0837

    0.0000 0.0196 0.0359 0.0496

    0.0000 0.0163

    0.01

    0.99

    1.000

    0.997

    0.993

    0.989

    0.988

    0.987

    0.986

    0.986

    0.986

    0.986

    0.986

    0.986

    0.987

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    Coefficients {an-i+1} for the W test for normality for n = 2(1)50

    19 20 21 22 23 24 25 26 27

    0.4808 0.4734 0.4643 0.4590 0.4542 0.4493 0.4450 0.4407 0.4366

    0.3232 0.3211 0.3185 0.3156 0.3126 0.3098 0.3069 0.3403 0.3018

    0.2561 0.2565 0.2578 0.2571 0.2563 0.2554 0.2543 0.2533 0.2522

    0.2059 0.2085 0.2119 0.2131 0.2139 0.2145 0.2148 0.2151 0.2152

    0.1641 0.1686 0.1736 0.1764 0.1787 0.1807 0.1822 0.1836 0.1848

    0.1271 0.1334 0.1399 0.1443 0.1480 0.1512 0.1539 0.1563 0.1584

    0.0932 0.1013 0.1092 0.1150 0.1201 0.1245 0.1283 0.1316 0.1346

    0.0612 0.0711 0.0804 0.0878 0.0941 0.0997 0.1046 0.1089 0.1128

    0.0303 0.0422 0.0530 0.0618 0.0696 0.0764 0.0823 0.0876 0.0923

    0.0000 0.0140 0.0263 0.0368 0.0459 0.0539 0.0601 0.0672 0.0728

    0.0000 0.0122 0.0228 0.0321 0.0403 0.0476 0.0540

    0.0000 0.0107 0.0200 0.0284 0.0358

    0.0000 0.0094 0.0178

    0.0000

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    46 47 48 49 50

    0.3830 0.3808 0.3789 0.3770 0.3751

    0.2635 0.2620 0.2604 0.2589 0.2574

    0.2302 0.2291 0.2281 0.2271 0.2260

    0.2058 0.2052 0.2045 0.2038 0.2032

    0.1862 0.1859 0.1855 0.1851 0.1847

    0.1695 0.1695 0.1693 0.1692 0.1619

    0.1548 0.1550 0.1551 0.1553 0.1554

    0.1415 0.1420 0.1423 0.1427 0.1430

    0.1293 0.1300 0.1306 0.1312 0.1317

    0.1180 0.1189 0.1197 0.1205 0.1212

    0.1073 0.1085 0.1095 0.1105 0.1113

    0.0972 0.0986 0.0998 0.1010 0.1020

    0.0876 0.0892 0.0906 0.0919 0.0932

    0.0783 0.0801 0.0817 0.0832 0.0846

    0.0694 0.0713 0.0731 0.0748 0.0764

    0.0607 0.0628 0.0648 0.0667 0.0685

    0.0522 0.0546 0.0568 0.0588 0.0608

    0.0439 0.0465 0.0489 0.0511 0.0532

    0.0357 0.0385 0.0411 0.0436 0.0459

    0.0277 0.0307 0.0335 0.0361 0.0386

    0.0197 0.0229 0.0259 0.0288 0.0314

    0.0118 0.0153 0.0185 0.0215 0.0244

    0.0039 0.0076 0.0111 0.0143 0.0174

    0.0000 0.0037 0.0071 0.0104

    0.0000 0.0035

    F311 1